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Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula PDF

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Chapter 5 Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula Tayfun Kindap, Alper Unal, Huseyin Ozdemir, Deniz Bozkurt, Ufuk Utku Turuncoglu, Goksel Demir, Mete Tayanc and Mehmet Karaca Additional information is available at the end of the chapter http://dx.doi.org/10.5772/51244 1. Introduction More than half of the world’s population (i.e. approximately 3.5 billion) has been living in urban areas in 2010 and by 2030 this number will rise to almost 5 billion (UNFPA, 2011). In the meantime, global average surface temperature has been increasing significantly: last century saw an approximately 0.7 °C warming (IPCC, 2007; WMO, 2009). Urban growth and climate change are two major forcings on local climate (IPCC, 2007). Urbanization reshapes the surface of the earth causing changes in the energy budget at the ground surface while altering the surrounding atmospheric circulation characteristics leading changes in local climate (Huang et al., 2009; Oke et al., 1992). Urban heat island (UHI) refers to warmer air temperatures observed in urban areas as compared to those over surrounding non-urban regions. When naturally vegetated areas (e.g., grass and trees) are replaced with impervious surfaces having relatively low reflectivity and evapotranspiration rates, additional energy heats the atmosphere causing the phenomena. After sunset, non-urban areas cool more rapidly than urban regions resulting in a temperature differential. The UHI is presented as the difference between temperatures recorded within and outside the urban settlement. It has been suggested that UHI is influenced by population; topography; level of industrialization as well as the regional climate (Oke, 1987; Rosenzweig et al., 2005; Gill et al., 2008; Kolokotroni & Giridharan, 2008). Anatolian peninsula, (i.e. Asian part of Turkey), is lying in the Eastern Mediterranean, and has seven distinct geographical regions: Eastern Anatolia; Central Anatolia; Black Sea Region; Mediterranean Region; Aegean Region; Marmara Region; and Southeastern Anatolia (Unal et al., 2003; Kindap, 2010). The Aegean and Mediterranean coastal regions have cool rainy winters, and hot moderately dry summers. Mountains along the coast © 2012 Kindap et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 88 Human and Social Dimensions of Climate Change prevent the Mediterranean influences from extending inland, giving interior of Anatolian Peninsula a continental climate and distinct seasons. As urbanization rate has increased significantly, UHI has become a significant issue in the Anatolian Peninsula. There have been a few studies focusing on UHI effect over Anatolian Peninsula (Karaca et al., 1995; Tayanc & Toros, 1997; and Ezber et al., 2007). For example, Karaca et al. (1995) investigated the effects of urbanization on climates of two cities, Istanbul and Ankara in the Anatolian Peninsula with varying periods (1912-1992) and reported significant upward trend for the urban temperatures when compared to the rural temperatures in the southern part of Istanbul. Tayanc & Toros (1997) studied 4 urban areas (i.e., Adana, Bursa, Gaziantep, Izmir) suggesting that temperature is more sensitive to UHI than precipitation and their results showed that the Anatolian Region is under a cooling trend after the period ending by 1990. Ezber et al. (2007) used statistical and numerical modeling tools to investigate the climatic effects of urbanization in Istanbul from the period of 1951 to 2004, and they found statistically positive trends in the urban stations of the city. These studies focused on cities individually and have not conducted a comprehensive evaluation of all urban environments in Anatolian Peninsula. The objective of this study, hence, is to quantify the UHI effect of the all major cities (population>1,000,000) with quality meteorological data extending back to 1965. Climate forecasts using a regional climate model output are also analyzed to understand the effect of UHI under a changing climate. 2. Material and methods 2.1. Temperature data Minimum daily temperature is the primary indicator of UHI (Rosenzweig et al., 2005). We have, therefore, compiled a database of minimum daily temperatures over urban cities in Anatolia. As a first step, we have developed and implemented the following criteria: Urban stations are selected in regions having population over 500,000, and rural stations with population of less than 100,000 (Hua et al., 2007); high quality temperature data (i.e., passes homogeneity test, have representative urban and rural stations); continuous data from 1965 to 2006. After comprehensive evaluation, especially for representativeness, we have identified 8 cities to analyze, a total of 25 meteorological stations (9 urban and 16 rural). These cities are highlighted in Table 1. Selected cities have significant increase in urban population between 1935 and 2011, are shown in Fig. 1. Ratio of the center population is calculated by dividing the center population (urban districts of the city, not the rural) of the selected cities to the total population of the city. Dark colored bar in the figure is the ratio of the year 1935, and the total bar including the shaded and the dark is the ratio in 2011. For example, in 1935 approximately 50% of Istanbul’s population is urbanized, which increased to approximately to 100% in 2011. In 1935, number of cities that have urban ratio of 50% or more was only one (i.e. Istanbul), whereas in 2011 all of the selected cities have urban population ratio of more than 50%. Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula 89 100 n Increase till o 2011 ti a 80 1935 ul p o P 60 r e t n Ce 40 f o o 20 ti a R 0 Selected Large Cities of Turkey Figure 1. The rate of urbanization in terms of urban over total population (%) in 1935 and 2011 Figure 2. Locations of meteorological monitoring stations 90 Human and Social Dimensions of Climate Change * Cities highlighted are analyzed in the study Table 1. Cities with their populations in each climatological region of the Anatolian Peninsula (TUIK, 2012) Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula 91 2.2. Study area Regarded by many as the cradle of civilization of the world, the Anatolian Peninsula is located at the confluence of Europe, Asia and Africa. This region has 75 million inhabitants (TUIK, 2012). The population has grown almost 4.7 times between 1935 and 2012, from 16 million to 75 million (TUIK, 2012). Ratio of rural to urban population has changed dramatically especially after 1980s and urban population ratio reached to about 80% in 2010 (Fig. 3). Table 1 lists the cities in each climate regions with their population. Approximately, 74% of the cities have the population between 100,000 and 1 million; 22% between 1 million and 5 million. Only 2 cities are below 100,000, and Istanbul is the only megacity (i.e., the city which has a population of five million or more) in the region having a population of over 13 million. Table 2 gives a classification about the site characteristics of the selected meteorological stations. 90 Urban population ratio 80 Rural population ratio 70 % o, 60 ti ra 50 n o 40 ti a ul 30 p o 20 P 10 0 1950 1960 1970 1980 1990 2000 2010 Time, year Figure 3. The population ratio of urban and rural parts of the region over total population from 1950 to 2010 (TUIK, 2012) 92 Human and Social Dimensions of Climate Change Station Latitude Longitude Altitude (m) Land-use Location and siting In a residential area at the city center on Ankara 39° 57’ 32° 53’ 891 Urban the ground 70 km away from the city center on the Polatli (Ankara) 39° 35’ 32° 09’ 886 Suburban ground Kizilcahamam 50 km away from the city center on the 40° 28’ 32° 39’ 1033 Rural (Ankara) ground Beypazari 75 km away from the city center on the 40° 10’ 31° 56’ 682 Rural (Ankara) ground Esenboga At the airport in the city center on the 40° 07’ 33° 00’ 959 Urban (Ankara) ground Nallihan 120 km away from the city center on the 40° 11’ 31° 22’ 650 Rural (Ankara) ground 5 km away from the city center at the Bursa 40° 23’ 29° 01’ 100 Urban airport on the ground 60 km away from the city center on the Keles (Bursa) 39° 54’ 29° 13’ 1063 Rural ground In a residential area at the city center on Gaziantep 37° 08’ 37° 37’ 900 Urban the ground Islahiye 50 km away from the city center on the 37° 02’ 36° 61’ 706 Rural (Gaziantep) ground Istanbul In a residential area at the city center on 40° 97’ 29° 06’ 33 Urban (Goztepe) the ground Istanbul In a residential area at the city center on 40° 97’ 28° 79’ 37 Urban (Florya) the ground Kirecburnu 25 km away from the city center on the 41° 15’ 29° 05’ 58 Rural (Istanbul) ground Kumkoy 30 km away from the city center on the 41° 25’ 29° 04’ 38 Rural (Istanbul) ground 50 km away from the city center on the Sile (Istanbul) 41° 17’ 29° 60’ 83 Rural ground In a residential area at the city center on Izmir 38° 39’ 27° 08’ 29 Urban the ground 75 km away from the city center on the Dikili (Izmir) 39° 07’ 26° 89’ 3 Rural ground In a residential area at the city center on Kayseri 38° 77’ 35° 49’ 1092 Urban the ground 40 km away from the city center on the Develi (Kayseri) 38° 28’ 35° 54’ 1180 Rural ground Pinarbasi 75 km away from the city center on the 38° 77’ 36° 61’ 1500 Rural (Kayseri) ground Tomarza 35 km away from the city center on the 38° 27’ 35° 48’ 1397 Rural (Kayseri) ground In a residential area at the city center on Mersin 36° 78’ 34° 60’ 3 Urban the ground Erdemli Alata 35 km away from the city center on the 36° 38’ 33° 94’ 9 Suburban (Mersin) ground In a residential area at the city center on Sanliurfa 37° 16’ 38° 79’ 547 Urban the ground Birecik 65 km away from the city center on the 37° 02’ 37° 96’ 345 Rural (Sanliurfa) ground Table 2. Site characteristics of selected meteorological stations Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula 93 2.3. Urban Heat Island The UHI effect refers to an increase in urban air temperatures as compared to surrounding suburban and rural temperatures (Oke, 1982; Quattrochi et al., 2000). UHI effect is defined as: T  T  T (1) ur u r where T is the urban station temperature, T is the rural station temperature, T r is u r u the effect of UHI. Heat islands develop in areas that contain a high percentage of non-reflective, water- resistant surfaces and a low percentage of vegetated and moisture-trapping surfaces (Rosenzweig et al., 2005). In particular, materials such as stone, concrete, and asphalt tend to trap heat at the surface (Landsberg, 1981; Oke, 1982; Quattrochi et al., 2000) and a lack of vegetation reduces heat lost due to evapotranspiration (Lougeay et al., 1996). The addition of anthropogenic heat and pollutants into the urban atmosphere further contributes to the intensity of the UHI effect (Taha, 1997). The pollution created by emissions from power generation increases absorption of radiation in the boundary layer (Oke, 1982) and contributes to the creation of inversion layers. Inversion layers prevent rising air from cooling at the normal rate in urban areas. Globally average surface warming is projected to increase for the end of the 21st century (2090 to 2099), relative to 1980 to 1999 within the six different scenarios between 1.1 - 6.4 C (IPCC, 2007). Climate change has the potential to significantly alter the intensity and increase the spatial extent of heat islands in urban environments. As temperature warms, the frequency with which UHI conditions occur could grow (Rosenzweig et al., 2005). 2.4. Mann-Kendall trend test Trend analysis can be used to assess the climatic variations of the atmosphere and the Mann-Kendall trend test (Mann, 1945; Kendall, 1975) is one of the widely used non- parametric tests to detect significant trends in time series. The Mann-Kendall trend test is not affected by the actual distribution of the data and is less sensitive to outliers rather than parametric trend tests, which are more powerful, but more sensitive to outliers. Therefore, Mann-Kendall test is more suitable for detecting trends in temperature time series, which may have outliers (Hamed, 2008). Climate change can be detected by the Kendall coefficient t (Mann test) and when a time series shows a significant trend, the period from which the trend is demonstrated can be obtained effectively by this test. In a time series, for each element yi, the number ni of elements yj preceding it (i > j) is calculated such that yi > yj. The test statistic t is then given by, tn, (2) i 94 Human and Social Dimensions of Climate Change and is distributed very nearly as a Gaussian normal distribution with an expected value of E(t) = n(n-1)/4 and a variance of vart = n(n-1)(2n+5)/72. A trend can be seen for high values of │ │ u(t) , where, tE(t) u(t) , (3) vart This principle can be usefully extended to the backward series and u u(t) can be i i obtained. The intersection of the u(t) and u’(t) curves denotes approximately the beginning of the trend. This is called the sequential version of the Mann-Kendall test (Goossens & Berger, 1986). If a Mann-Kendall statistic of a time series is higher than 1.96, there is a 95% significant increase in that particular time series. If the result is just the reverse; lower than - 1.96, there is a 95% significantly decreasing trend in the series. Also, results between 0.5 and 1.96 indicate increasing, -0.5 and -1.96 indicate decreasing trends, and 0.5 and -0.5 indicate no trend. The Mann-Kendall statistics are then plotted on a map in order to show the spatial distribution of both the significant and non-significant temperature trends in Turkey. 3. Results and discussion Observation data over the Anatolian Peninsula were analyzed to understand trends in average temperature. As can be seen in Fig. 4a, as of 2009, average temperatures in all 8 cities are higher than temperature in 1960s. For example, average temperature increase in Kayseri, Gaziantep, and Mersin is over 2 C. Fig. 4b presents anomaly in mean temperatures in Anatolian Peninsula as estimated using gridded dataset obtained by the Climate Research Unit (CRU - TS3.0). The results suggest an increase of 0.5 C starting in 1990s. Trends in daily minimum temperatures at individual meteorological stations were investigated with the Mann-Kendall trend test (Mann, 1945; Kendall, 1975). As an example, annual time series of minimum temperatures for the urban stations of Istanbul (Goztepe & Florya) and its sequential version of the Mann-Kendall test graph is presented in Fig. 5. In Mann-Kendall plots, as of 1965, Goztepe station has a minimum temperature of 10 °C, which increased to 11.5 °C in 2006. Similar trend is seen for Florya station. Significance of the trend has been identified by Mann-Kendall statistics where the area above the line passing 1.96 represents the 95% significance level. Both Goztepe and Florya stations show a significant increase starting by mid to late 1990s. The Mann-Kendall statistic of the annual minimum temperatures for the urban and rural stations are presented in Table 3. In all urban stations, Mann-Kendall statistics suggest statistically significant increase. In rural stations, however, out of 16 stations, 13 stations do not show any significant trend; only 1 of them have statistically significant increase and 2 of them show decreasing trend. After 1990s, the population of Beypazari and Tomarza are on the decline, and this may be the reason for the negative trends in these two rural stations. These results suggest that an additional factor: possibly UHI, is in motion to cause significant increase in minimum temperatures over urban areas. In order to further Quantification of the Urban Heat Island Under a Changing Climate over Anatolian Peninsula 95 investigate this hypothesis, we have studied trends in temperature differences between urban and rural environment for the selected cities. (a) (b) Figure 4. (a) Observation mean temperature variation in large Anatolian Cities and (b) anomaly in yearly mean temperatures in the Anatolian Peninsula from 1965 to 2006 96 Human and Social Dimensions of Climate Change (a) (b) Figure 5. The annual time series of minimum temperature for the urban stations of Istanbul and its sequential version of the Mann-Kendall test; a) Goztepe, b) Florya Urban Station Tmin Statistics (1965-2006) Ankara* 2,93 Bursa* 2,20 Gaziantep* 4,87 4,19 Istanbul (Goztepe)* Istanbul (Florya)* 3,46 Izmir* 2,61 Kayseri* 5,08 Mersin* 7,06 Sanliurfa* 4,35 (a)

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in urban air temperatures as compared to surrounding suburban and rural temperatures (Oke, 1982; Quattrochi et al., 2000). UHI effect is defined as:.
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